ttach
Robo-Semantic-Segmentation
| ttach | Robo-Semantic-Segmentation | |
|---|---|---|
| 1 | 1 | |
| 943 | 0 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | over 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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ttach
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Setting up Google Colab for Deep Learning
While Colab usually comes pre-installed with most of the basic dependencies like Tensorflow, PyTorch, scikit-learn, pandas and many more, there are chances that you have to install external packages at times. You can do that using the !pip install command. For example we can install the ttach library which is used for augmentation of images during test phase. This can be done using:
Robo-Semantic-Segmentation
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Where do I even start? Image segmentation.
Hi, you can look at this https://github.com/The-ML-Hero/Robo-Semantic-Segmentation/ which is my GitHub repo. This repo is all about segmentation specifically semantic segmentation, I have a couple of questions where did you get the dataset? and do you have the dataset ready?. But before you use the code be sure to understand the workings of semantic image segmentation architectures. The repo is implemented in Pytorch which is in the python language.
What are some alternatives?
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
torch-metrics - Metrics for model evaluation in pytorch
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
deepsegment - A sentence segmenter that actually works!
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
torch-points3d - Pytorch framework for doing deep learning on point clouds.
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
Implicit-Internal-Video-Inpainting - [ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation